Training Loss	Epoch	Step	Validation Loss	Wer	Avg Precision Exact	Avg Recall Exact	Avg F1 Exact	Avg Precision Letter Shift	Avg Recall Letter Shift	Avg F1 Letter Shift	Avg Precision Word Level	Avg Recall Word Level	Avg F1 Word Level	Avg Precision Word Shift	Avg Recall Word Shift	Avg F1 Word Shift	Precision Median Exact	Recall Median Exact	F1 Median Exact	Precision Max Exact	Recall Max Exact	F1 Max Exact	Precision Min Word Shift	Recall Min Word Shift	F1 Min Word Shift
No log	8e-05	1	7.9394	100.8130	0.0002	0.0009	0.0004	0.0043	0.0034	0.0034	0.0036	0.0204	0.0059	0.0398	0.0360	0.0353	0.0	0.0	0.0	0.1111	0.5	0.1538	0.0	0.0	0.0
0.0573	0.8	10000	0.1857	22.9823	0.7811	0.7770	0.7785	0.8163	0.8120	0.8135	0.8236	0.8193	0.8208	0.9437	0.9406	0.9414	0.9	0.8889	0.8889	1.0	1.0	1.0	0.0	0.0	0.0
0.0276	1.6	20000	0.2057	19.9224	0.8052	0.8105	0.8073	0.8336	0.8391	0.8357	0.8390	0.8441	0.8410	0.9451	0.9521	0.9478	0.9091	0.9167	0.9167	1.0	1.0	1.0	0.0	0.0	0.0
0.0238	2.4	30000	0.2099	19.0096	0.8151	0.8152	0.8147	0.8437	0.8440	0.8434	0.8491	0.8495	0.8488	0.9557	0.9579	0.9562	0.9167	0.9167	0.9167	1.0	1.0	1.0	0.1429	0.125	0.1333
0.0157	3.2	40000	0.2171	18.0414	0.8332	0.8294	0.8309	0.8616	0.8580	0.8593	0.8671	0.8641	0.8651	0.9607	0.9587	0.9591	0.9231	0.9231	0.9231	1.0	1.0	1.0	0.0769	0.0714	0.0741
0.0061	4.0	50000	0.2365	17.8123	0.8326	0.8322	0.8320	0.8597	0.8592	0.8590	0.8658	0.8651	0.8650	0.9598	0.9604	0.9595	0.9286	0.9286	0.9286	1.0	1.0	1.0	0.0833	0.0769	0.08
0.0038	4.8	60000	0.2350	17.3651	0.8243	0.8251	0.8242	0.8520	0.8529	0.8520	0.8568	0.8578	0.8568	0.9571	0.9600	0.9579	0.9231	0.9231	0.9286	1.0	1.0	1.0	0.0	0.0	0.0
0.002	5.6	70000	0.2404	17.0288	0.8319	0.8323	0.8317	0.8592	0.8595	0.8589	0.8649	0.8652	0.8645	0.9609	0.9620	0.9608	0.9286	0.9286	0.9310	1.0	1.0	1.0	0.0	0.0	0.0
0.002	6.4	80000	0.2439	17.0251	0.8116	0.8127	0.8117	0.8368	0.8379	0.8369	0.8420	0.8429	0.8420	0.9567	0.9592	0.9573	0.9231	0.9258	0.9286	1.0	1.0	1.0	0.0	0.0	0.0
0.001	7.2	90000	0.2548	16.8995	0.8106	0.8102	0.8100	0.8368	0.8364	0.8362	0.8421	0.8414	0.8413	0.9575	0.9579	0.9571	0.9231	0.9231	0.9286	1.0	1.0	1.0	0.0	0.0	0.0
0.0001	8.0	100000	0.2552	16.1604	0.8115	0.8113	0.8110	0.8369	0.8369	0.8365	0.8414	0.8413	0.8409	0.9648	0.9659	0.9648	0.9286	0.9286	0.9286	1.0	1.0	1.0	0.0	0.0	0.0

Framework versions

Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.20.0
Tokenizers 0.19.1

cantillation/Teamim-tiny_Random-True_DropOut-0.1_WeightDecay-1e-06_Augmented_date-27-06-2024_11-10-07

he-cantillation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cantillation/
Teamim-tiny_Random-True_DropOut-0.1_WeightDecay-1e-06_Augmented_date-27-06-2024_11-10-07